학술논문
Lp - Association Rules mining based on rough concept lattice
Document Type
Conference
Author
Source
2009 International Conference on Machine Learning and Cybernetics Machine Learning and Cybernetics, 2009 International Conference on. 1:145-148 Jul, 2009
Subject
Language
ISSN
2160-133X
2160-1348
2160-1348
Abstract
Rough concept lattice (RCL) is a new concept lattice, which can deal with uncertainty knowledge. It is an effective tool for data analysis and knowledge discovery. But some objects that in upper approximation extent of RCL are so uncertainty that makes the accuracy of association rules reduced. In this case, based on decision context, we construct a L- plumpness concept lattice ( Lp - RCL ), in whose upper approximation extent objects at least satisfy L attributes in order to improve the efficiency of extraction rules. And we get the algorithm for Lp - Association Rules.